Martina Mammarella
- Modeling and Simulation top 10%
- Aerospace Engineering top 10%
- Space Satellite Systems and Control 7
- Spacecraft Dynamics and Control 6
- Spacecraft Design and Technology 5
- Control and Systems Engineering top 10%
- Advanced Control Systems Optimization 12
- Adaptive Control of Nonlinear Systems 6
- Fault Detection and Control Systems 6
- Control Systems and Identification 5
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- Smart Agriculture and AI 5
Martina Mammarella
37 papers receiving 443 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 38
- Aerospace Engineering 177
- Control and Systems Engineering 139
- Astronomy and Astrophysics 54
- Computer Vision and Pattern Recognition 51
Countries citing papers authored by Martina Mammarella
This map shows the geographic impact of Martina Mammarella's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martina Mammarella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Mammarella more than expected).
Fields of papers citing papers by Martina Mammarella
This network shows the impact of papers produced by Martina Mammarella. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martina Mammarella. The network helps show where Martina Mammarella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martina Mammarella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 51 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 22 | |
| 14 | 2019 | 26 | |
| 15 | 2018 | 8 | |
| 16 | MISSION SCENARIOS FOR HIGH-POWER ELECTRIC PROPULSION | 2018 | 3 |
| 17 | DESIGN AND COST ANALYSIS OF HIGH-POWER SOLAR ELECTRIC PROPULSION PLATFORMS | 2018 | 1 |
| 18 | 2017 | 5 | |
| 19 | A sustainable bridge between Low Earth Orbits and Cislunar Infrastructures: the Lunar Space Tug | 2016 | 1 |
| 20 | 2016 | 4 |
About Martina Mammarella
Martina Mammarella is a scholar working on Aerospace Engineering, Control and Systems Engineering, Astronomy and Astrophysics, Energy Engineering and Power Technology and Statistics, Probability and Uncertainty, having authored 41 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (12 papers), Space Satellite Systems and Control (7 papers), Adaptive Control of Nonlinear Systems (6 papers), Fault Detection and Control Systems (6 papers), Spacecraft Dynamics and Control (6 papers), Spacecraft Design and Technology (5 papers), Control Systems and Identification (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Modeling and Simulation (38 citations), Aerospace Engineering (177 citations), Control and Systems Engineering (139 citations), Astronomy and Astrophysics (54 citations) and Computer Vision and Pattern Recognition (51 citations). Martina Mammarella has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Fabrizio Dabbene, Elisa Capello, Giorgio Guglieri, Alessandro Biglia, P. Gay, Lorenzo Comba, Teodoro Álamo, Alberto Abella, Daniel Gutiérrez Reina and Marcello Romano. Their work appears in journals such as IEEE Control Systems Letters, Acta Astronautica, Biosystems Engineering, Automatica and Aerospace Science and Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.